Method and system for on-demand roadside AI service

Abstract

A method comprises receiving a service request from a vehicle, obtaining environment data with one or more sensors, determining a vehicle type of the vehicle based on the service request, determining service data responsive to the service request based on the vehicle type of the vehicle and the environment data, and transmitting a service message comprising the service data to the vehicle.

What is claimed is: 
     
       1. A method comprising:
 receiving a service request from a vehicle; 
 obtaining environment data with one or more sensors; 
 determining a vehicle type of the vehicle based on the service request; 
 determining service data responsive to the service request based on the vehicle type of the vehicle and the environment data; and 
 transmitting a service message comprising the determined service data to the vehicle. 
 
     
     
       2. The method of  claim 1 , further comprising:
 receiving sensor data collected by the vehicle as part of the service request; and 
 determining the service data responsive to the service request based at least in part on the sensor data collected by the vehicle. 
 
     
     
       3. The method of  claim 1 , wherein the vehicle type comprises an automation level of the vehicle. 
     
     
       4. The method of  claim 1 , wherein:
 the service request comprises a request for perception service; and 
 the service data comprises data associated with one or more road agents in the vicinity of the vehicle. 
 
     
     
       5. The method of  claim 4 , further comprising, upon determination that the vehicle type is an autonomous vehicle:
 transmitting the service message via millimeter wave radio. 
 
     
     
       6. The method of  claim 4 , further comprising, upon determination that the vehicle type is a semi-autonomous vehicle:
 extracting features based on the environment data; and 
 transmitting the service message comprising the extracted features via Dedicated Short-Range Communication (DSRC). 
 
     
     
       7. The method of  claim 4 , further comprising, upon determination that the vehicle type is a legacy vehicle:
 determining positions of one or more road agents based on the environment data; and 
 transmitting the service message comprising the determined positions of the one or more road agents via DSRC. 
 
     
     
       8. The method of  claim 1 , wherein:
 the service request comprises a request for localization service; and 
 the service data comprises a location of the vehicle. 
 
     
     
       9. The method of  claim 1 , wherein:
 the service request comprises a request for decision service; and 
 the service data comprises one or more driving instructions. 
 
     
     
       10. A roadside server comprising a controller configured to:
 receive a service request from a vehicle; 
 obtain environment data with one or more sensors; 
 determine a vehicle type of the vehicle based on the service request; 
 determine service data responsive to the service request based on the vehicle type of the vehicle and the environment data; and 
 transmit a service message comprising the determined service data to the vehicle. 
 
     
     
       11. The roadside server of  claim 10 , wherein the controller is further configured to:
 receive sensor data collected by the vehicle as part of the service request; and 
 determine the service data responsive to the service request based at least in part on the sensor data collected by the vehicle. 
 
     
     
       12. The roadside server of  claim 10 , wherein:
 the service request comprises a request for perception service; and 
 the service data comprises data associated with one or more road agents in the vicinity of the vehicle. 
 
     
     
       13. The roadside server of  claim 12 , wherein the controller is further configured to, upon determination that the vehicle type is an autonomous vehicle:
 transmit the service message via millimeter wave radio. 
 
     
     
       14. The roadside server of  claim 12 , wherein the controller is further configured to, upon determination that the vehicle type is a semi-autonomous vehicle:
 extract features based on the environment data; and 
 transmit the service message comprising the extracted features via DSRC. 
 
     
     
       15. The roadside server of  claim 12 , wherein the controller is further configured to, upon determination that the vehicle type is a legacy vehicle:
 determine positions of the one or more road agents based on the environment data; and 
 transmit the service message comprising the determined positions of the one or more road agents via DSRC.